Triple
T6210902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X-47B |
E138864
|
entity |
| Predicate | firstAutonomousAerialRefueling |
P68927
|
FINISHED |
| Object | 2015-04-22 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2015-04-22 | Statement: [X-47B, firstAutonomousAerialRefueling, 2015-04-22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAutonomousAerialRefueling Context triple: [X-47B, firstAutonomousAerialRefueling, 2015-04-22]
-
A.
firstUncrewedTestFlight
Indicates the event of conducting the initial test flight of a vehicle or system without any crew onboard.
-
B.
airRefuellingMethod
Indicates the method or technique used to transfer fuel between aircraft during in-flight refuelling.
-
C.
firstUncrewedTestFlightMission
Indicates that the subject is the first mission in which a spacecraft or launch system is tested in flight without any crew onboard.
-
D.
inauguralFlightVehicle
Indicates that the subject is the vehicle used to operate the inaugural (first-ever) flight of a given service or route.
-
E.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:21 p.m.